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hub / github.com/sml2h3/ddddocr / initialize

Method initialize

ddddocr/core/ocr_engine.py:56–97  ·  view source on GitHub ↗

初始化OCR引擎 Raises: ModelLoadError: 当初始化失败时

(self, **kwargs)

Source from the content-addressed store, hash-verified

54 self.initialize()
55
56 def initialize(self, **kwargs) -> None:
57 """
58 初始化OCR引擎
59
60 Raises:
61 ModelLoadError: 当初始化失败时
62 """
63 try:
64 if self.use_import_onnx:
65 # 加载自定义模型
66 self.session, charset_info = self.model_loader.load_custom_model(
67 self.import_onnx_path, self.charsets_path
68 )
69
70 # 设置模型配置
71 self.charset_manager.charset = charset_info['charset']
72
73 # 初始化有效字符索引(使用完整字符集)
74 self.charset_manager._update_valid_indices()
75
76 self.word = charset_info['word']
77 self.resize = charset_info['image']
78 self.channel = charset_info['channel']
79 else:
80 # 加载默认模型
81 self.session = self.model_loader.load_ocr_model(self.old, self.beta)
82
83 # 加载默认字符集
84 self.charset_manager.load_default_charset(self.old, self.beta)
85
86 # 初始化有效字符索引(使用完整字符集)
87 self.charset_manager._update_valid_indices()
88
89 # 设置默认配置
90 self.word = False
91 self.resize = [64, 64] # 默认尺寸
92 self.channel = 1
93
94 self.is_initialized = True
95
96 except Exception as e:
97 raise ModelLoadError(f"OCR引擎初始化失败: {str(e)}") from e
98
99 def predict(self, image: Union[bytes, str, Image.Image],
100 png_fix: bool = False, probability: bool = False,

Callers 2

__init__Method · 0.95
_reload_modelMethod · 0.95

Calls 5

ModelLoadErrorClass · 0.85
load_custom_modelMethod · 0.80
_update_valid_indicesMethod · 0.80
load_ocr_modelMethod · 0.80
load_default_charsetMethod · 0.80

Tested by

no test coverage detected